AUTOMATIC HUMAN FREE FALL DETECTION USING ANDROID
Journal Title: Elysium Journal of Engineering Research and Management - Year 2015, Vol 2, Issue 3
Abstract
Where the person needs immediate medical assistance and often crashes, accidents caused by the free fall position. Alerting the appropriate authorities, such as the types of situations can be very important. Smart phone and tablets commercially available electronic devices in common use, such as the free fall detection system. An Android smart phone with a built-in three-axis accelerometer is based is used. Using data obtained from the displacement-based methods of detecting the acceleration of free fall is analyzed. So we developed an Android app, free fall detection. Android smart phones without the need for any additional sensors are generally used and so it falls detection provides a feasible and cost-effective solution.
Authors and Affiliations
Booma devi P. , Rensingh Xavier S. P
SMART HOME ENERGY MANAGEMENT SYSTEM USING RS485 NETWORK
Home Energy Management System (HEMS) (for information as effectively at home to the load equipment through the use of renewable energy Water heater, washing machine and the fan, etc.), and to regulate...
FEATURE SELECTION IN CT IMAGES BASED ON PARTICLE SWARM BASED OPTIMIZATION
Lung diseases are the common disorder that can affect the lungs and create breathing problem in all the humans. CT images plays an important role for diagnosing the lung diseases.This project proposes a Particle swarm ba...
An Efficient Ant Colony Optimization (ACO) for Dynamic Optimal Power Flow in Active Distribution Networks
Renewable Distributed Generations (DG) with high penetration becomes the requirement for Active Distribution Networks (ADN). In the proposed work, the Dynamic Optimal Power Flow output can be improved with the help of An...
FRACTAL RECOGNITION AND PATTERN CLASSIFIER BASED SPAM FILTERING IN EMAIL SERVICE
Efficient monitoring and preventing process requires allocation and policies to network administrator implies network security. The main communication link for individual and organizational convers...
A Feature Learning and Object Recognition Framework for Underwater Fish Images with Segmentation
Live fish recognition is one of the most decisive elements of fisheries analysis where the massive amount of data is promptly assimilated .Diverse from wide-ranging scenarios, experiments to underwater image recognition...